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Recommender Systems
1012 directly classified papers
Papers per year
2006: 2
2007: 4
2008: 6
2009: 5
2010: 9
2011: 11
2012: 15
2013: 13
2014: 25
2015: 15
2016: 33
2017: 42
2018: 53
2019: 110
2020: 98
2021: 104
2022: 86
2023: 105
2024: 112
2025: 156
2026: 8
Papers
Social Recommendation via Graph-Level Counterfactual Augmentation
AAAI 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems
ACL 2025
End-to-End Aspect-Guided Review Summarization at Scale
EMNLP 2025
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
EMNLP 2025
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling
IJCAI 2025
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation
EMNLP 2025
A Survey on LLM-powered Agents for Recommender Systems
EMNLP 2025
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
AAAI 2025
On Using Arabic Language Dialects in Recommendation Systems
NAACL 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence
ACL 2025
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
IJCAI 2025
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
AAAI 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
MuseChat: A Conversational Music Recommendation System for Videos
CVPR 2024
Learning Dynamic Multi-attribute Interest for Personalized Product Search
EMNLP 2024
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
AISTATS 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
NIPS 2024
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
IJCAI 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
NIPS 2024
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
IJCAI 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
EMNLP 2024
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines
COLING 2024
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
EACL 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
AAAI 2024
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